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Paper on Classifying Semantic Types of Legal Sentences - Portability of Machine Learning Models has been accepted at Jurix 2018

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Differentiation and Empirical Analysis of Reference Types in Legal Documents

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,inproceedings,legal informatics,publication,rechtsinformatik Publication Citation Bernhard Waltl / Jörg

Towards Measures of Complexity - Applying Structural and Linguistic Metrics to German Laws

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Extending Thesauri Using Word Embeddings and the Intersection Method

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LEXIA - A Data Science Environment for Semantic Analysis of German Legal Texts

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Unveiling References in Legal Texts - Implicit versus Explicit Network Structures

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Amazon in the Air Innovating with Big Data at Lufthansa

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Demystifying Big Data Adoption Beyond IT Fashion and Relative Advantage

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Predicting the Outcome of Appeal Decisions in Germany’s Tax Law

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Classifying Semantic Types of Legal Sentences - Portability of Machine Learning Models

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